Customer Churn Analysis Using Deep Reinforcement Learning Approach

Author(s)	Taiyab Khan, Shakir Ali Idrisi, Dr. Harshali Patil, Dr. Jyotshna Dongradive
Country	India
Abstract	Customer churn analysis is a critical component of business strategy in industries where retaining customers is essential for profitability and growth. This study aims to investigate the factors influencing customer churn in the telecommunications sector, utilizing a comprehensive dataset of customer interactions and demographics.
Keywords	Machine Learning, Churn Rate, Customer Retention, Exploratory Data Analysis, Customer Feedback and Surveys, Churn Prediction Models.
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 6, Issue 1, January-February 2024
Published On	2024-01-06
Cite This	Customer Churn Analysis Using Deep Reinforcement Learning Approach - Taiyab Khan, Shakir Ali Idrisi, Dr. Harshali Patil, Dr. Jyotshna Dongradive - IJFMR Volume 6, Issue 1, January-February 2024. DOI 10.36948/ijfmr.2024.v06i01.11712
DOI	https://doi.org/10.36948/ijfmr.2024.v06i01.11712
Short DOI	https://doi.org/gtdr6q

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